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Tier-1 brand, popular product title, mid-level experience, and metro role create high applicant competition.
Product skills transferable, but banking and responsible-AI domain specifics raise sensitivity to medium.
Explicit 5+ years plus mandatory AI, MLOps, and responsible-AI expertise implies high shortlisting strictness.
Support product development and optimization in Consumer and Community Banking using user research and customer feedback to improve and innovate products.
Collaborate with Engineering, Data Science/ML, Data Engineering, Design, and Risk/Controls to deliver end-to-end data and user experience solutions.
Analyze product metrics and write requirements, epics, and user stories to support product lifecycle from discovery to delivery.
5+ years of experience or equivalent expertise in product management or relevant domain.
Proficient knowledge of product development lifecycle including discovery and requirements definition.
Experience implementing LLM-enabled analytics with responsible AI controls (PII handling, prompt/tool safety, explainability, evaluation) and MLOps/ModelOps including monitoring, drift, retraining triggers, model governance/auditability.
Experience working with AI assistants (Claude, Copilot) and structured tool/data integration (MCP).
Experience working at the intersection of product management and AI/ML technologies to drive innovative financial products.
Ability to partner across diverse teams including engineering, data science, design, and risk to deliver complex solutions.
Comfortable managing and analyzing product metrics and incorporating responsible AI governance in product strategies.